# Shen-Lab/DeepAffinity

<https://repo.masters-masters.com/en/repos/Shen-Lab/DeepAffinity>

[Home](https://repo.masters-masters.com/en) › [Shen-Lab](https://repo.masters-masters.com/en/owners/Shen-Lab) › [DeepAffinity](https://repo.masters-masters.com/en/repos/Shen-Lab/DeepAffinity)

Shen-Lab/DeepAffinity has 155 stars on GitHub. Its RepoMasters card: Prototype tier. Protein-compound affinity prediction through unified RNN-CNN

| Field | Value |
| --- | --- |
| Owner | [Shen-Lab](https://repo.masters-masters.com/en/owners/Shen-Lab) |
| Stars | 155 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | drug-discovery, interpretable-deep-learning, semi-supervised-learning, attention-mechanism, protein |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Shen-Lab/DeepAffinity](https://github.com/Shen-Lab/DeepAffinity) |

## Repository

Protein-compound affinity prediction through unified RNN-CNN

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
